AI Infrastructure Market Size & Share, by Technology (Machine Learning, Deep Learning); Offering; End use - Global Supply & Demand Analysis, Growth Forecasts, Statistics Report 2024-2036

  • Report ID: 6332
  • Published Date: Aug 21, 2024
  • Report Format: PDF, PPT

Global Market Size, Forecast, and Trend Highlights Over 2024-2036

AI Infrastructure Market size was valued at USD 37.1 billion in 2023 and is estimated to cross USD 872.9 billion by the end of 2036, expanding around 30.1% CAGR during the forecast period, i.e., 2024-2036. In 2024, the industry size of AI infrastructure is estimated at USD 47.3 billion.

The market expansion is primarily attributed to the increasing adoption of AI-powered chatbots across several smart devices. In July 2024, Google announced that Gemini will be incorporated into Samsung devices such as Z Fold6, Galaxy Watches, and the latest Galaxy Z Flip6. The Gemini application is available in about 200 countries and in over 29 languages. Moreover, AI is useful for handling Big Data, this includes hardware comprising graphics processing units (GPUs), Tensor Processing Units (TPUs), specialized AI chips, software frameworks, and tools for developing and implementing AI.

The available AI-powered chatbots cater to a wide array of applications. For instance, detailed, consistent, accurate, and human-like outputs are provided as a response that can be incorporated by interconnecting various workspace applications such as Google Meet, Sheets, Docs, and Slides using chatbots such as ChatGPT and Gemini. This will impact the chatbot during the forecast period.


AI Infrastructure Market
Get more information on this report: Request Free Sample PDF

AI Infrastructure Sector: Growth Drivers and Challenges

Growth Drivers

  • Tremendous investments in computer-intensive chips: AI infrastructure market revenue is growing rapidly as GPU & CPU manufacturers such as Qualcomm, AMD, NVIDIA, and Intel have increased their investments in developing chips compatible with AI solutions. For instance, in April 2024, Google announced an investment of USD 75.0 million to provide AI skills to more than 1 million Americans while working in the education and nonprofit sectors. Furthermore, the revenue share is also driven by the development of Application-Specific Integrated Circuits (ASICs) and Field-Programmable Gate Arrays (FPGAs).
  • Ease of handling high computational demand: AI-integrated infrastructure provides enhanced scalability and flexibility as it is cloud-based and not on-premise. The advanced visibility it offers can easily pool TPU, GPU, and CPU which can help increase resources. Additionally, there is widespread adoption of real-time AI and Internet of Things (IoT) systems owing to their affordability, compact size, and energy efficiency. AI tools such as Google Kubernetes Engine (GKE) allow real-time control, manufacturing, and monitoring options that help to reduce downtime, optimize production efficiency, and improve overall productivity.

    In addition, to meet the long-term demand for chips, the Global Semiconductor Industry Association continued to make significant capital expenditures. They invested about USD 166.0 billion in 2022 for the manufacturing and R&D of chips for automotive, electronics, and other industries.

Challenges

  • Threat of alternatives: IT infrastructure such as traditional CPUs are readily available at an affordable price as they work on on-premise data centers, software, and desktops. Moreover, there is a need for outsourcing solutions for repurposing existing software to ensure enhanced efficiency and to meet AI infrastructure needs. This makes it difficult to improve operators’ skills, especially in data science as it may limit its scope, application, and longevity.
  • Security and privacy concerns: AI infrastructure providers need to ensure that their offerings adhere to legal frameworks, this often includes requirements for data encryption, user consent, and deletion rights. Strong access control mechanisms are expensive but can ensure that only authorized users can access sensitive data and AI models. This includes role-based access control (RBAC), multi-factor authentication (MFA), and regular audits of user permissions. thus, hindering market growth.

AI Infrastructure Market: Key Insights

Base Year

2023

Forecast Year

2024-2036

CAGR

30.1%

Base Year Market Size (2023)

USD 37.1 billion

Forecast Year Market Size (2036)

USD 872.9 billion

Regional Scope

  • North America (U.S., and Canada)
  • Asia Pacific (Japan, China, India, Indonesia, Malaysia, Australia, South Korea, Rest of Asia Pacific)
  • Europe (UK, Germany, France, Italy, Spain, Russia, NORDIC, Rest of Europe)
  • Latin America (Mexico, Argentina, Brazil, Rest of Latin America)
  • Middle East and Africa (Israel, GCC North Africa, South Africa, Rest of the Middle East and Africa)
Get more information on this report: Request Free Sample PDF

AI Infrastructure Segmentation

Technology (Machine Learning, Deep Learning)

The machine learning segment in the AI infrastructure market is poised to capture a share of 59.1% in the coming years. This segment growth is augmented by the goal of machine learning (ML) which allows users to create algorithms and models. Attributed to which, computers comprehend the data to make predictions and judgments accordingly without the need to be programmed. Growth in this sector will boost machine learning in the near future.

Furthermore, the scalable cloud computing resources, allow businesses to easily implement ML models without having to invest in on-premises infrastructure. Because of various governmental regulatory standards such as HIPAA (Health Insurance Portability and Accountability Act) in the U.S. and GDPR (General Data Protection Regulation) in Europe, ML solutions are being adopted for data privacy, security, and reasons.

Offering (Hardware, Software)

The hardware segment is expected to be the fastest-growing segment with a substantial size during the forecast period. This growth is propelled by their ability to parallel processing, which makes several processes like training an AI model interface faster. For example, the NVIDIA AI GPU-accelerated AI platform serves as the foundation for the NVIDIA AI Workbench. Their Quadro and Tesla series are specially made to handle AI workloads. Additionally, in contrast to the fixed hardware structures of CPUs, GPUs, and FPGAs are made up of a variety of interconnected and programmable logic blocks that can be set up to perform specific hardware functions.

Our in-depth analysis of the global market includes the following segments:

          Technology

  • Machine Learning
  • Deep Learning

           Offering

  • Hardware
  • Software

          End use

  • Enterprises
  • Government Organization
  • Cloud Services Provider

Want to customize this research report as per your requirements? Our research team will cover the information you require to help you take effective business decisions.

Customize this Report

AI Infrastructure Industry - Regional Synopsis

North America Market Statistics

The AI infrastructure market in North America is slated to hold the largest share of 41.9% during the forecast period. The growth in this region is driven by the surge in data centers for its storage and processing. For instance, the United States International Trade Commission published a report in May 2021, estimating a 50% increase in the creation of new data as compared to 2020, surpassing 1.2 trillion gigabytes of data production. Owing to this the data center construction will show a tremendous growth rate in the forecast period.

In the U.S., there is a tremendous boost in the emergence of startups, which will act as a rising factor for the AI infrastructure industry as they will need more IoT. Additionally, the Center for American Progress in 2024 estimated an influence in the growth rate of about 16% between 2019 and 2023 in the number of startups and firms.

The prevalence of various cloud-based service providers in Canada such as Sync.com, Leonovus, and Eleks will demand AI infrastructure for enhanced functioning. According to the Cloud Computing Statistics in Canada 2024, about 92% of companies in Canada use some type of cloud computing. They set about 29% of the IT budget for cloud computing.

APAC Market Analysis

The AI infrastructure market in Asia Pacific will also encounter huge growth during the forecast period with a notable size, accounting for the second position. This growth is led by the increasing digitization in various sectors such as banking, telecommunication, healthcare, and automotive. American Medical Association in January 2024 surveyed 1091 physicians, and about 56.0% witnessed improved patient convenience, coordination, and safety after AI was incorporated into healthcare.

In China, investments from private and government sectors in digital infrastructure are boosting AI infrastructure. World Economic Forum 2023 estimated that by 2030 the internet economy in Asia is fueled to surpass USD 1 trillion, credited to the slated base of digital applications and consumers. This will significantly drive the AI infrastructure market.

Japan is predicted to have a high rise in technology coupled with several advancements and innovations in storage management software. A report published by the World Intellectual Organization in 2022 concluded that Japan ranked 11th for its inputs in innovation both in 2022 and 2021. Japan also ranks 12th in the top 48 economies of the high-income group.

Research Nester
Artificial Intelligence (AI) Infrastructure Market Size
Get more information on this report: Request Free Sample PDF

Companies Dominating the AI Infrastructure Landscape

    The AI infrastructure market expansion is predicted to grow impelled by these companies occupying a lucrative share. Most of these companies are continuously collaborating, making agreements, expanding, and joining ventures for the growth of this industry. With the increasing presence of chatbots, and investments in computer-intensive chips various companies are adapting to the latest trends and are set to be the major key players in this sector.

    Some of the key players include:

    • Alibaba
      • Company Overview
      • Business Strategy
      • Key Product Offerings
      • Financial Performance
      • Key Performance Indicators
      • Risk Analysis
      • Recent Development
      • Regional Presence
      • SWOT Analysis
    • NVIDIA
    • AIBrain
    • IBM
    • Microsoft
    • ConcertAI
    • Oracle
    • Salesforce, Inc.
    • Amazon.com Inc.
    • Google LLC

In the News

  • In March 2024, AWS and NVIDIA announced a collaboration to develop the next generation of cloud-based infrastructure with the express purpose of creating generative AI applications and training robust machine learning models.
  • In October 2023, Alibaba Cloud and Futureverse, a metaverse and AI content company collaborated to bring cloud computing services to the Jen Music AI platform. By creating the JEN-1 text-to-music generation model, the partnership aims to advance AI generative music technology.

Author Credits:  Abhishek Verma


  • Report ID: 6332
  • Published Date: Aug 21, 2024
  • Report Format: PDF, PPT

Frequently Asked Questions (FAQ)

In the year 2023, the industry size of the AI infrastructure market was USD 37.1 billion.

The market size of the AI infrastructure landscape is projected to surpass USD 872.9 billion by the end of 2036 expanding at a CAGR of 30.1% during the forecast period i.e., between 2024-2036.

The major players in the market are Alibaba, NVIDIA, AIBrain, IBM, Microsoft, ConcertAI, Oracle, Salesforce, Inc., Amazon.com Inc., Google LLC, and others.

In terms of technology, the machine learning segment is anticipated to garner the largest market share of 59.1% by 2036 and display substantial growth opportunities during 2024-2036.

The market in the North America is projected to hold the largest market share of 41.9% by the end of 2036 and provide more business opportunities in the future.
AI Infrastructure Market Report Scope
logo
  GET A FREE SAMPLE

FREE Sample Copy includes market overview, growth trends, statistical charts & tables, forecast estimates, and much more.

 Request Free Sample Copy

Have questions before ordering this report?

Inquiry Before Buying
Inquiry Before Buying Request Free Sample